Method for estimating needs of transaction in processor in multi-tier architecture

Abstract

The invention discloses a method for estimating the needs of a transaction in a processor in a multi-tier architecture. The method comprises the following steps of: detecting inter-transaction correlation by analyzing an access log of a production environment; if strongly correlated transactions are discovered, extracting the shortest session subsequences and subsequences 1 shorter than the shortest session subsequence of the strongly correlated transactions by analyzing the access log; generating a logically correct artificial load of various transaction types by utilizing the subsequences; running the artificial load in a controllable testing environment to obtain performance monitoring data under the load; and finally obtaining the average servicing time of the transactions by using a conventional regression-based servicing time estimation method. By the method, the problem of multicollinearity of a conventional regression method in little load proportion change is solved, and the accurate average servicing time of various transaction types can be calculated and assist in making a rational capacity plan, thereby reducing the procurement cost of an enterprise and ensuring the performance of a network service.

Description

Technical field [0001] The present invention relates to the field of performance-based measurement, in particular to a method for estimating server processor requirements in a multi-layer architecture. Background technique [0002] Multi-layer architecture is the industry's standard for building network services. How to estimate the requirements of network services for each layer of server resources, especially processors, is the key to enterprise capacity planning. Under the multi-layer architecture, network services usually exist in multiple "request-reply" mode transactions. Different types of transactions have different requirements for server resources (for example, in e-commerce sites, settlement transactions often consume more processor resources than browsing transactions); the same transaction has different requirements for servers at different levels (for example, browsing transactions in The web server layer often requires more processor resources than the database la...

AI Technical Summary

Problems solved by technology

One traditional way to solve this problem is to combine related transactions into a single transaction, but this method will give wrong service time estimates when the business load ratio changes; another method is to use complex regression solving methods, Such as the Ridge regression method, but the parameters of such methods are often difficult to determine, and are only suitable for transactions with weak correlation

Inaccurate service time estimates can lead to incorrect capacity planning, resulting in wasted resources or degraded network service performance

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